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Stand Development Monitoring

Stand Development Monitoring. Harry Kope Resource Practices Branch. What SDM is. It’s a point-in-time assessment...... It’s a ‘mid-rotation’ (ages 20 to 40) survey that collects data on pest incidence and stocking. What SDM collects. Polygon size, tree age and BEC information...........

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Stand Development Monitoring

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  1. Stand Development Monitoring Harry Kope Resource Practices Branch

  2. What SDM is................ • It’s a point-in-time assessment...... • It’s a ‘mid-rotation’ (ages 20 to 40) survey that collects data on pest incidence and stocking...... What SDM collects................ • Polygon size, tree age and BEC information........... • Total live and dead tree by species, by layer.............. • Forest Health factors on live and dead trees.............. • Height and DBH of layer 1 and layer 2 trees.......... • Site index using growth intercept.......... • Inventory label..........

  3. SDM collections so far......... • TSA • 100 Mile House (29) • Boundary (29) • Bulkley (19) • Cranbrook (29) • Fort Nelson (6) • Fraser (17) • Golden (30) • Invermere (10) • Kamloops (49) • Kingcome (2) • Lakes (14) • Mackenzie (30) • Merritt (22) • Morice (8) • Prince George (71) • Quesnel (35) • Queen Charlotte Islands (2) • Revelstoke (7) • Strathcona (5) • Sunshine Coast (14) • Williams Lake (76) 21 TSA’s 504 openings Collected from 2009 to 2013

  4. Where is the SDM data? • https://spc-flnr.gov.bc.ca/frep/FREP%20data/Forms/AllItems.aspx?RootFolder=%2Ffrep%2FFREP%20data%2FSDM%2FSDM%20field%20data%20by%20TSA&FolderCTID=0x012000DBA9C8AAFEB3E144A5A407625D5ABE3A&View=%7b0A141741-A7D0-4903-A4B5-504480C083FD%7d • OR • TSA data summaries • Examples • Fraser • Golden • Mackenzie

  5. Sample Summary

  6. Forest Health

  7. Stand Density

  8. Species Composition 26 (87%) of 30 polygons sampled)

  9. Site Index

  10. SDM “roll-ups” • TSA’s • 100 Mile House (29) • Bulkley (19) • Lakes (14) • Mackenzie (30) • Morice (8) • Prince George (71) • Quesnel (35) • Williams Lake (76) • Polygon attributes • Mean age (yrs) - 25 • Range of ages – 15 to 50 • Net area (ha) - 33 • Range of net area – 6 to 91 N= 282

  11. Forest Health • Top 5 Forest Health issues • Suppression (Veg. competition) • Western gall rust • Fork • Moose • Snow Press • Forest Health issues • Abiotic • Animal • Insect • Rusts

  12. 19 27 15 51 145

  13. Approx 73% of the total trees are in layer 3

  14. Basal Area – mean polygon basal area (m2/ha) Quesnel

  15. The benefits of a ‘point-in-time’ assessment at mid-rotation • Assess forest health........... • Identify the major and minor forest health factors • Determine where forest health factors are occurring (BEC) • Determine on what species of tree forest health factors are occurring • A count and/or percentage of live and dead trees • Track how stand attributes change in managed forests........... • Identifying stand composition by layer • Identify current Basal area • Data supplied to other databases. i.e., RESULTS............. • Changes to the Inventory label • SDM data could ultimately be used to support revision of standards associated with current practices......

  16. FFT and SDM - interactions • FFT surveyed a stand that was to be surveyed by SDM.  However, RESULTS was not updated so the SDM crew didn’t know that the polygon boundaries changed. • This remapping and making changes in RESULTS makes it difficult for SDM to match historical to current stand data FFT and SDM - opportunities • FFT and SDM activities should be co-ordinated within districts so that overlapping surveys and competing data do not occur. • FFT could consider using SDM data of common openings (better than aerial surveys). • FFT should consider funding SDM surveys where on-the-ground data collection is important and openings are shared.

  17. Questions? Comments? Constructive criticism? SDM team Kevin Astridge,Frank Barber, Harry Kope, Dave Weaver, Stefan Zeglen (team lead)

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